INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH
Keywords:artificial intelligence, higher education institutes, academic policy, educational process, research activities
Generative artificial intelligence is rapidly transforming the educational process and the scientific work of students, lecturers, researchers and administrators of higher education institutions. There are limited and contradictory recommendations for the use of artificial intelligence in the educational process and in the educational programmes of higher education institutions. To define the scope of AI application, there is a need to develop institutional policies for higher education institutions, which will allow the academic community to determine the appropriate scope of AI application in the educational process and prevent the use of AI in areas where ethical norms are violated. The purpose of the article is to summarise and systematise the experience of forming institutional policies for the application of artificial intelligence in education, training and research in higher education institutions using the experience of Kherson State University.
The article presents the developed institutional policies for students, lecturers and researchers with recommended and not recommended initiatives for the use of AI in the educational process and research at Kherson State University. The purpose of these institutional policies was to create an inclusive environment of modern digital tools for involving of lecturers of non-professional specialties and define the framework for the use of artificial intelligence in education, teaching, and research of all subjects (participants) of educational activity. The recommendations are aimed at empowering all participants to select educational components creatively and at improving the efficiency of the educational process and research activities through the use of AI tools.
Issues requiring further research regarding generative platforms lie in three thematic areas: knowledge base; transparency and ethics; digital transformation of organizations and societies. It is also relevant to create an educational environment that encourages the interaction and dissemination of positive practice of digital transformation of all participants of the educational process.
O. Zawacki-Richter, V. I. Marn, M. Bond, and F. Gouverneur, “Systematic Review of research on artificial intelligence applications in higher education where are the educators?” International Journal of Educational Technology In Higher Education, vol. 16, no. 1, pp. 1–27, 2019, doi: 10.1186/s41239-019-0171-0. (in English)
M. Chui, E. Hazan, R. Roberts, A. Singla, K. Smaje, A. Sukharevsky, L. Yee, and R. Zemmel, “The economic potential of generative ai: The next productivity frontier,” 2023. [Online]. Available: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-AI-the-next-productivity-frontier?fbclid=IwAR3V5wiDawXDnP%20d2KRZjqJM%20kApP%20r7hXF%20ORU%209OhIzHnxumuzGGL1SZsnqu (in English)
A. I. Pisica, T. Edu, R. M. Zaharia, and R. Zaharia, “Implementing artificial intelligence in higher education: Pros and cons from the perspectives of academics,” Societies, vol. 13, no. 5, p. 118, 2023, doi: 10.3390/soc13050118. (in English)
J. Caulfield, “University policies on ai writing tools,” 2023. [Online]. Available: https://www.scribbr.com/ai-tools/chatgpt-university-policies (in English)
Kozminski University. “Kozminski University recommendations regarding the use of AI-based generators, such as ChatGPT.” https://www.kozminski.edu.pl/en/review/kozminski-university-recommendations-regarding-use-ai-based-generators-such-chatgpt?fbclid=IwAR0Q43sFRu0FKaJEMMXBnd8aeTrQxGaaC7zHMQs3d6XAactNztgBy4iu03w (retrieved Feb. 1, 2009). (in English)
E. Sabzalieva, and A. Valentini, “ChatGPT and artificial intelligence in higher education: quick start guide,” 2023. [Online]. Available: https://www.iesalc.unesco.org/en/2023/04/14/chatgpt-and-artificial-intelligence-in-higher-education-quick-start-guide-and-interactive-seminar/ (in English)
Y. K. Dwivedi, N. Kshetri, L. Hughes, E. L. Slade, A. Jeyaraj, A. K. Kar, A. M. Baabdullah, A. Koohang, V. Raghavan, M. Ahuja et al., “so what if ChatGPT wrote it?” multidisciplinary perspectives on opportunities, challenges and implications of generative conversational ai for research, practice and policy,” International Journal of Information Management, vol. 71, p. 102642, 2023, doi: 10.1016/j.ijinfomgt.2023.102642. (in English)
N. V. Valko, T. L. Goncharenko, N. O. Kushnir, and V. V. Osadchyi, “Cloud technologies for basics of artificial intelligence study in school,” in CTE Workshop Proceedings, vol. 9, 2022, pp. 170–183. [Online]. Available: http://ceur-ws.org/Vol-3085/paper31.pdf (in English)
V. Kobets, O. Petrov, and S. Koval, “Sustainable robo-advisor bot and investment advice-taking behaviour,” in PLAIS Euro Symposium on Digital Transformation. Springer, pp. 15–35, 2022, doi: 10.1007/978-3-031-23012-7_2. (in English)
A. Tlili, B. Shehata, M. Adarkwah et al., “What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education,” Smart learn. environ. 10, 15, 2023, doi: 10.1186/s40561-023-00237-x. (in English)
B. C. Graves, “Specifications grading to promote student engagement, motivation and learning: Possibilities and cautions,” Assessing Writing, vol. 57, p.100754, 2023, doi: 10.1016/j.asw.2023.100754. (in English)
C. K. Y. Chan, “A comprehensive ai policy education framework for university teaching and learning,” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, pp. 1–25, 2023, doi: 10.1186/s41239-023-00408-3. (in English)
J. J. Xu and T. Babaian, “Artificial intelligence in business curriculum: The pedagogy and learning outcomes,” The International Journal of Management Education, vol. 19, no. 3, p. 100550, 2021, doi: 10.1016/j.ijme.2021.100550. (in English)
S.-C. Kong, W. M.-Y. Cheung, and G. Zhang, “Evaluating artificial intelligence literacy courses for fostering conceptual learning, literacy and empowerment in university students: Refocusing to conceptual building,” Computers in Human Behaviour Reports, vol. 7, p. 100223, 2022, doi: 10.1016/j.chbr.2022.100223. (in English)
L. Sundberg and J. Holmstr ̈om, “Democratizing artificial intelligence: How no-code ai can leverage machine learning operations,” Business Horizons, 2023, doi: 10.1016/j.bushor.2023.04.003. (in English)
M. C. Keiper, “ChatGPT in practice: Increasing event planning efficiency through artificial intelligence,” Journal of Hospitality, Leisure, Sport & Tourism Education, vol. 33, p. 100454, 2023, doi: 10.1016/j.jhlste.2023.100454. (in English)
V. M. Kobets, V. O. Yatsenko, A. Mazur, and M. I. Zubrii, “Data analysis of personalized investment decision making using robo-advisers,” Science and Innovation, 16 (2), pp. 80–93, 2020, doi: 10.15407/SCINE16.02.080. (in English)
O. Snihovyi, O. Ivanov, and V. Kobets, “Implementation of robo-advisors using neural networks for different risk attitude investment decisions,” in 2018 International Conference on Intelligent Systems (IS). IEEE, pp. 332–336, 2018, doi: 10.1109/IS.2018.8710559. (in English)
S. C. Tan, A. V. Y. Lee, and M. Lee, “A systematic review of artificial intelligence techniques for collaborative learning over the past two decades,” Computers and Education: Artificial Intelligence, p. 100097, 2022, doi: 10.1016/j.caeai.2022.100097. (in English)
C.-P. Dai and F. Ke, “Educational applications of artificial intelligence in simulation-based learning: A systematic mapping review,” Computers and Education: Artificial Intelligence, p. 100087, 2022, doi: 10.1016/j.caeai.2022.100087. (in English)
Q. Xia, T. K. Chiu, X. Zhou, C. S. Chai, and M. Cheng, “Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education,” Computers and Education: Artificial Intelligence, p. 100118, 2022, doi: 10.1016/j.caeai.2022.100118. (in English)
R. Peres, M. Schreier, D. Schweidel, and A. Sorescu, “On СhatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice,” International Journal of Research in Marketing, 2023, doi: 10.1016/j.ijresmar.2023.03.001. (in English)
A. Al Darayseh, “Acceptance of artificial intelligence in teaching science: Science teachers’ perspective,” Computers and Education: Artificial Intelligence, vol. 4,p. 100132, 2023, doi: 10.1016/j.caeai.2023.100132. (in English)
T. Alqahtani, H. A. Badreldin, M. Alrashed, A. I. Alshaya, S. S. Alghamdi, K. bin Saleh, S. A. Alowais, O. A. Alshaya, I. Rahman, M. S. Al Yami et al., “The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research,” Research in Social And Administrative Pharmacy, 2023. (in English)
A. Y. Huang, O. H. Lu, and S. J. Yang, “Effects of artificial intelligence enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom,” Computers & Education, vol. 194, p.104684, 2023, doi: 10.1016/j.compedu.2022.104684. (in English)
M. Tanveer, S. Hassan, and A. Bhaumik, “Academic policy regarding sustain-ability and artificial intelligence (AI),” Sustainability, vol. 12, no. 22, p. 9435,2020, doi: 10.3390/su12229435. (in English)
Order of the Cabinet of Ministers of Ukraine. (as of 02.12.2020) No.1556-р, Concept of the development of artificial intelligence in Ukraine. [Online]. Available: https://zakon.rada.gov.ua/laws/show/1556-2020-%D1%80#Text (in Ukrainian)
O. Spivakovsky, S. Omelchuk, D. Malchykova, A. Tsapiv, and O. Lemeshchuk, “Academic solidarity and digitization: management of a displaced university,” Problems and Perspectives in Management, vol. 21, no. 2-si, pp. 40–51, 2023, doi: 10.21511/ppm.21(2-si).2023.06. (in English)
O. Spivakovsky, S. Omelchuk, N. Valko, V. Kobets, D. Malchykova, Т. Kornisheva, V. Blach, O. Lemeshchuk, and E. Khomenko, “General policies of using artificial intelligence in learning, teaching and research at Kherson State University,” Kherson State University, Ivano-Frankivsk, Ukraine, 29 Jun 2023. Accessed: 29 Jun 2023. [Online]. Available: https://www.kspu.edu/FileDownload.ashx?id=00653012-555c-46b2-bb64-05ba9bf26773 (in Ukrainian)
How to Cite
Copyright (c) 2023 Олександр Володимирович Співаковський, Сергій Аркадійович Омельчук, Віталій Миколайович Кобець, Наталія Валеріївна Валько, Дар’я Сергіївна Мальчикова
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish in this journal agree to the following terms:
- Authors hold copyright immediately after publication of their works and retain publishing rights without any restrictions.
- The copyright commencement date complies the publication date of the issue, where the article is included in.
- Authors grant the journal a right of the first publication of the work under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) that allows others freely to read, download, copy and print submissions, search content and link to published articles, disseminate their full text and use them for any legitimate non-commercial purposes (i.e. educational or scientific) with the mandatory reference to the article’s authors and initial publication in this journal.
- Original published articles cannot be used by users (exept authors) for commercial purposes or distributed by third-party intermediary organizations for a fee.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) during the editorial process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (see this journal’s registered deposit policy at Sherpa/Romeo directory).
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Post-print (post-refereeing manuscript version) and publisher's PDF-version self-archiving is allowed.
- Archiving the pre-print (pre-refereeing manuscript version) not allowed.